Cloud Data Engineer - Fraud Platform (Hybrid)

Q2 India; Austin (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health & Wellness Benefits

Generous paid parental leave

Job summary

Q2 is seeking an engineer for the Risk & Fraud team to design, implement, test, and operate cloud-native, data-driven services across the Fraud Intelligence Platform. This production-focused role offers growth as you gain experience with real-world systems and data.

You will collaborate with experienced engineers, work across the stack, and contribute to high-quality software in a fast-paced environment, while adhering to engineering best practices and security standards.

Qualifications

• A Bachelor’s degree in Computer Science, Information Systems or similar plus a minimum of 2 years of related work experience; or an advanced degree
• Working knowledge of data transformations, data orchestration and pipelines, data replication
• Working knowledge of SQL and NoSQL databases, data warehouses, distributed file storage and compute platforms
• Good understanding of software engineering, distributed software design and data-centric systems architecture
• Data Movement and Pipelines: Apache Airflow, dbt, Kafka
• Data Warehouse: Snowflake
• Databases: SQL Server, Postgres, DynamoDB
• Languages: Python, C#, Golang, Bash, SQL
• CI/CD tools and infrastructure as code deployment: GitLab, Azure DevOps, Terraform, Argo CD
• Containerization: Kubernetes, Docker
• Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker
• This position requires fluent written and oral communication in English. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Responsibilities

• Design, implement, test, and operate cloud-native, data-driven services and applications across Q2’s Fraud Intelligence Platform.
• This is a production-focused role where you will gradually take on more responsibility as you gain experience working with real-world systems and data.

Job description

Q2 is seeking an engineer for the Risk & Fraud team to design, implement, test, and operate cloud-native, data-driven services across the Fraud Intelligence Platform. This production-focused role offers growth as you gain experience with real-world systems and data.

You will collaborate with experienced engineers, work across the stack, and contribute to high-quality software in a fast-paced environment, while adhering to engineering best practices and security standards.